Using Multitask Unified Model (MUM) to improve search and NLU / Aymen Abderrahim Redjechta  

Public ISBD Titre : Using Multitask Unified Model (MUM) to improve search and NLU Type de document : texte imprimé Auteurs : Aymen Abderrahim Redjechta, Auteur ; Aya Lamria Rouabhi, Auteur ; Harrag,Fouzi, Directeur de thèse Année de publication : 2022 Importance : 1 vol (99 f .) Format : 29cm Langues : Français (fre) Catégories : Thèses & Mémoires:Informatique Mots-clés : Natural language processing Index. décimale : 004 Informatique Résumé : After BERT, the introduction of MUM is the next significant major shift for Google search. While earlier machine learning-based innovations relied on a number of trained models for various tasks, the objective of MUM is to employ just one model for all indexing, information retrieval, and ranking-related tasks. In this work, we aim to use the MUM concepts to retrieve images and generate them from the Arabic dataset. When it comes to natural language processing (NLP), Arabic is a highly difficult language that is rarely employed the new deep learning techniques. Open Ai CLIP is one the best new deep learning model for Connecting Text and Images wich can map both images and text, alongside with Open Ai Dall for generating images. In our project, we will be fine-tuning the model to extract images and generate them. Côte titre : MAI/0619 En ligne : https://drive.google.com/file/d/1MxPmzAXceOLsvk5T6ry8g7rnYkHHioMe/view?usp=share [...] Format de la ressource électronique : pdf Using Multitask Unified Model (MUM) to improve search and NLU [texte imprimé] / Aymen Abderrahim Redjechta, Auteur ; Aya Lamria Rouabhi, Auteur ; Harrag,Fouzi, Directeur de thèse . - 2022 . - 1 vol (99 f .) ; 29cm. Langues : Français (fre) Catégories : Thèses & Mémoires:Informatique Mots-clés : Natural language processing Index. décimale : 004 Informatique Résumé : After BERT, the introduction of MUM is the next significant major shift for Google search. While earlier machine learning-based innovations relied on a number of trained models for various tasks, the objective of MUM is to employ just one model for all indexing, information retrieval, and ranking-related tasks. In this work, we aim to use the MUM concepts to retrieve images and generate them from the Arabic dataset. When it comes to natural language processing (NLP), Arabic is a highly difficult language that is rarely employed the new deep learning techniques. Open Ai CLIP is one the best new deep learning model for Connecting Text and Images wich can map both images and text, alongside with Open Ai Dall for generating images. In our project, we will be fine-tuning the model to extract images and generate them. Côte titre : MAI/0619 En ligne : https://drive.google.com/file/d/1MxPmzAXceOLsvk5T6ry8g7rnYkHHioMe/view?usp=share [...] Format de la ressource électronique : pdf

Exemplaires (1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
MAI/0619	MAI/0619	Mémoire	Bibliothéque des sciences	Anglais	Disponible Disponible

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